Comprehensive Mathematical Functionality

Linear Systems Eigensystem Analysis Interpolation and Approximation Integration and Differentiation Differential Equations

Transforms Nonlinear Equations Optimizations Special Functions Utilities

Extensive Statistical Functionality

Basic Statistics Regression Correlation and Covariance Analysis of Variance and Designed Experiments Categorical and Discrete Data Analysis Non parametric Statistics

Tests of Goodness-of-Fit Time Series and Forecasting Multivariate Analysis Survival Analysis Probability Distribution Functions and Inverses Random Number Generator

The IMSL C Numerical Library is Thread Safe
The IMSL C Library offers software engineers the opportunity to author "thread safe" implementations. This feature will leverage existing hardware investments and allow developers to produce applications capable of faster throughput. With this capability, the IMSL C Library can be confidently integrated into Web and database servers in which multiple threads are used to handle multiple, independent, computations. Visual Numerics developed the "thread safe" features of the IMSL C Library based on the POSIX pthread industry standard (UNIX) and Windows thread API (PC). The system "thread safe" libraries on which the IMSL C Library is based are present on all major platforms.

World Renowned Documentation
Documentation for the IMSL C Numerical Library is comprehensive, clearly written, and standardized

• Provides organized, easy-to-find information
• Documents, explains, and provides references for algorithms
• Gives at least one example of function usage, with sample input and results

100% Pure C Code
Pure C code means:

• Increased Robustness: Code wrappers can cause server crashes, security violations and data corruption
• Simplified Development: Wrappers require the developer to access external compilers and pass arrays or user-defined data types to ensure compatibility between the different languages. The IMSL C Library allows developers to write, build, compile and debug code in a single environment

Portability

• Available on common platform combinations
• Simplifies platform migrations
• Supported Computing Platforms

Cost-Effectiveness and Value
The IMSL C Numerical Library significantly shortens program development time and promotes standardization. Variable argument lists have been implemented to simplify calling sequences. Using the IMSL C Numerical Library saves up to 95% of source code development and thousands of dollars in the design, development, documentation, testing and maintenance of your application.

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Intuitive Programming: Accurate, Robust and Reliable
The IMSL C Numerical Library uses descriptive, explanatory function names for intuitive programming. Reserved function names begin with prefixes unique to each product. Where appropriate, consistent variable names are used to:

• Make function names easy to identify and use as well as prevent conflicts with other software
• Provide a common root name for numerical functions that offers the choice of multiple precision

Diagnostic Error Handling
Diagnostic error messages are clear and informative - designed not only to convey the error condition but also to suggest corrective action, if appropriate. These error-handling features:

• Make it faster and easier to debug programs
• Provide for more productive programming and confidence that the algorithms are functioning properly in an application

SMP High-Performance Technology
The IMSL C Numerical Library, the world's standard mathematical and statistical C Library, has been designed to take advantage of symmetric multiprocessor (SMP) systems by leveraging hardware vendor-supplied functionality. Computationally intensive algorithms in the areas of linear algebra and fast Fourier transforms will leverage SMP capabilities on a variety of systems. In addition to the SMP benefits of the IMSL C Numerical Library, other changes have been incorporated in areas such as memory management and array processing to improve the computational efficiency for several other algorithms. Combining the performance and functional improvements with the longtime accuracy, reliability and robustness found in the IMSL mathematical and statistical functions provide an excellent solution for the C application developer.